Abstract
In today's mobile devices, the battery reservoir remains severely limited in capacity, making power consumption a key concern in the design and implementation of mobile applications. In this paper, we closely examine one widely adopted approach to improve the energy efficiency of mobile applications-adaptively offloading the computation to the remote cloud. In particular, we measure the power consumption of computation offloading for two representative real-world mobile cloud applications under various wireless network conditions and identify the unique features of data transmission for computation offloading. We then formulate the power-aware scheduling problem for computation offloading and present a scheduling algorithm that makes adaptive offloading decisions according to the dynamic network conditions. Simulation results show that our proposed method can achieve better battery performance, which also reveal that computation-intensive and delay-tolerant tasks are more likely to benefit from offloading.
Original language | English (US) |
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Title of host publication | 2016 25th International Conference on Computer Communications and Networks, ICCCN 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509022793 |
DOIs | |
State | Published - Sep 14 2016 |
Event | 25th International Conference on Computer Communications and Networks, ICCCN 2016 - Waikoloa, United States Duration: Aug 1 2016 → Aug 4 2016 |
Publication series
Name | 2016 25th International Conference on Computer Communications and Networks, ICCCN 2016 |
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Other
Other | 25th International Conference on Computer Communications and Networks, ICCCN 2016 |
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Country/Territory | United States |
City | Waikoloa |
Period | 8/1/16 → 8/4/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.